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A model performs well on training data but poorly on validation data. What is this?

  1. A Underfitting
  2. B Overfitting
  3. C Data leakage
  4. D Class imbalance
Answer

Overfitting

Overfitting is high variance: the model has learned noise. More data, regularisation, a simpler model or early stopping all help.

All Machine Learning MCQs

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